Woody Bayliss is a Senior Data Scientist at the BBC, leveraging a strong background in machine learning and data analysis. He progressed internally from a Broadcast Engineer to a Machine Learning Researcher before his current role. He holds a PhD from Queen Mary University of London, where his research focused on AI and computer vision.
His academic work and publications indicate a deep-seated interest in the intersection of technology and media, particularly in audio and video analysis. This professional focus suggests a personal fascination with digital media, music, and the application of complex technology to creative fields.
His PhD thesis involved developing a novel pruning methodology to reduce the complexity and power consumption of computer vision neural networks for practical applications.